ArticleProceedings. Biological sciences2023
Virulence decomposition for bifurcating infections.
Article in Proceedings. Biological sciences, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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Who cites it
6 citing papers in PubMed.
- Resources Modulate Developmental Shifts but Not Infection Tolerance Upon Co-Infection in an Insect System.Molecular ecology · 2025Article
- A Trade-Off Between Antimicrobial Peptide Resistance and Sensitivity to Host Immune Effectors inEvolutionary applications · 2025Article
- Chronic bacterial infections exert metabolic costs in Drosophila melanogaster.The Journal of experimental biology · 2025Article
- Resources modulate developmental shifts but not infection tolerance upon coinfection in an insect system.bioRxiv : the preprint server for biology · 2024Article
- Mapping the functional form of the trade-off between infection resistance and reproductive fitness under dysregulated immune signaling.PLoS pathogens · 2024Article
- Virulence decomposition for bifurcating infections.Proceedings. Biological sciences · 2023Article
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Authors and funding
4 authors.
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Abstract
A fundamental goal in infection biology is to understand the emergence of variation in pathogen virulence-here defined as the decrease in host fitness caused by a pathogen. To uncover the sources of such variation, virulence can be decomposed into both host- and pathogen-associated components. However, decomposing virulence can be challenging owing to complex within-host pathogen dynamics such as bifurcating infections, which recently received increased empirical and theoretical attention. Bifurcating infections are characterized by the emergence of two distinct infection types: (i) terminal infections with high pathogen loads resulting in rapid host death, and (ii) persistent infections with lower loads and delayed host death. Here, we propose to use discrete mixture models to perform separate virulence decompositions for each infection type. Using this approach, we reanalysed a recently published experimental dataset on bacterial load and survival in
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